Presentation 2009-11-11
Evaluation of Neuron Selection Techniques for Synchronous Exponential Chaotic Tabu Search for Quadratic Assignment Problems
Tetsuo KAWAMURA, Yoshihiko HORIO,
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Abstract(in English) The tabu search was implemented on a neural network with chaotic neuro-dynamics. This chaotic tabu search shows great performance in solving a quadratic assignment problem (QAP). However, analog hardware systems for the chaotic tabu search cannot fully utilize its inherent parallelism because of the sequential update of the neuronal states. To overcome this problem, a synchronous updating scheme where all neurons are updated at the same time was proposed. However, several neurons may fire simultaneously with the synchronous updating. As a result, we cannot determine a candidate for the 2-opt exchange. To solve this problem, neuron selection methods which select one specific neuron among many fired neurons were proposed. This paper compares two of such methods through numerical simulations which consider the effects of noise.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Chaos / Quadratic Assignment Problem / Tabu search
Paper # NLP2009-94
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Committee NLP
Conference Date 2009/11/4(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Evaluation of Neuron Selection Techniques for Synchronous Exponential Chaotic Tabu Search for Quadratic Assignment Problems
Sub Title (in English)
Keyword(1) Chaos
Keyword(2) Quadratic Assignment Problem
Keyword(3) Tabu search
1st Author's Name Tetsuo KAWAMURA
1st Author's Affiliation Graduate School of Engineering, Tokyo Denki University()
2nd Author's Name Yoshihiko HORIO
2nd Author's Affiliation Graduate School of Engineering, Tokyo Denki University
Date 2009-11-11
Paper # NLP2009-94
Volume (vol) vol.109
Number (no) 269
Page pp.pp.-
#Pages 5
Date of Issue